Applied AI Field Solutions Engineer (FDSE)

ServiceNow; Dublin; Hybrid; EUR 120,000 - 180,000; Full time

Benefits offered by this job

Generous family leave

Matched donations

Annual learning stipends

Flexible PTO

Competitive retirement plan

Paid volunteer time

Job summary

ServiceNow’s Applied AI Forward Deployed Engineering (FDSE) team partners with strategic customers to design, implement, and deliver solution-ready builds in agile sprints. You own backend services to LLM pipelines and front-end integrations, producing reference implementations for scalable GenAI in the enterprise.

Ideal candidates craft reusable patterns, contribute to internal tooling, and drive AI-native software that runs in production across industries, with up to 30% travel to embed onsite.

Qualifications

• 10+ years of software engineering experience, including 2+ years building systems in customer-facing or embedded roles.
• Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infra-as-code.
• Strong backend (Python, Node.js, Java) and frontend (React, Angular) knowledge, plus APIs (REST/GraphQL).
• Experience integrating AI into SaaS platforms like ServiceNow or Salesforce.

Responsibilities

• Build solution-ready LLM-enabled applications spanning backend logic, data orchestration, and front-end UI.
• Operate in the field, collaborating with customers in live environments to adapt and iterate.
• Codify reusable assets—libraries, prompts, scaffolds—for future engagements.
• Shape developer experience by feeding feedback to platform and product teams.
• Deliver production-ready solutions in agile end-to-end sprints.
• Engineer with APIs, orchestration pipelines, LLM frameworks, and UI components.

Skills

Python

Node.js

Java

React

Angular

REST APIs

GraphQL

DevOps

CI/CD

AWS

Azure

GCP

MLflow

SageMaker

LangChain

Vector search

Tools

LangChain

Semantic Kernel

Prompt chaining

Vector DBs

Job description

ServiceNow’s Applied AI Forward Deployed Engineering (FDSE) team partners with strategic customers to design, implement, and deliver solution-ready builds in agile sprints. You own backend services to LLM pipelines and front-end integrations, producing reference implementations for scalable GenAI in the enterprise.

Ideal candidates craft reusable patterns, contribute to internal tooling, and drive AI-native software that runs in production across industries, with up to 30% travel to embed onsite.